Evidence map›Paper›PMID 37937074›Full record

ArticleFrontiers in public health2023

Implementation of California COVIDNet - a multi-sector collaboration for statewide SARS-CoV-2 genomic surveillance.

Debra A Wadford, Nikki Baumrind, Elizabeth F Baylis, John M Bell, Ellen L Bouchard, Megan Crumpler, Eric M Foote, Sabrina Gilliam, Carol A Glaser, Jill K Hacker and 8 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Debra A WadfordCalifornia Department of Public Health, Richmond, CA, United States.
Nikki BaumrindCalifornia Department of Public Health, Richmond, CA, United States.
Elizabeth F BaylisCalifornia Department of Public Health, Richmond, CA, United States.
John M BellCalifornia Department of Public Health, Richmond, CA, United States.
Ellen L BouchardCalifornia Department of Public Health, Richmond, CA, United States.
Megan CrumplerOrange County Public Health Laboratory, Santa Ana, CA, United States.
Eric M FooteCalifornia Department of Public Health, Richmond, CA, United States.
Sabrina GilliamCalifornia Department of Public Health, Richmond, CA, United States.
Carol A GlaserCalifornia Department of Public Health, Richmond, CA, United States.
Jill K HackerCalifornia Department of Public Health, Richmond, CA, United States.
Katya LedinCalifornia Department of Public Health, Richmond, CA, United States.
Sharon L MessengerCalifornia Department of Public Health, Richmond, CA, United States.
Christina MoralesCalifornia Department of Public Health, Richmond, CA, United States.
Emily A SmithTheiagen Genomics, Highlands Ranch, CO, United States.
Joel R SevinskyTheiagen Genomics, Highlands Ranch, CO, United States.
Russell B Corbett-DetigPathogen Genomics Center, University of California, Santa Cruz, Santa Cruz, CA, United States.
Joseph DeRisiUniversity of California, San Francisco, San Francisco, CA, United States.
Kathleen JacobsonCalifornia Department of Public Health, Richmond, CA, United States.

Funding

ACL HHS U01CK000539NCEZID CDC HHS U01 CK000539
6 · The paper itself

Abstract

Introduction: The SARS-CoV-2 pandemic represented a formidable scientific and technological challenge to public health due to its rapid spread and evolution. To meet these challenges and to characterize the virus over time, the State of California established the California SARS-CoV-2 Whole Genome Sequencing (WGS) Initiative, or "California COVIDNet". This initiative constituted an unprecedented multi-sector collaborative effort to achieve large-scale genomic surveillance of SARS-CoV-2 across California to monitor the spread of variants within the state, to detect new and emerging variants, and to characterize outbreaks in congregate, workplace, and other settings. Methods: California COVIDNet consists of 50 laboratory partners that include public health laboratories, private clinical diagnostic laboratories, and academic sequencing facilities as well as expert advisors, scientists, consultants, and contractors. Data management, sample sourcing and processing, and computational infrastructure were major challenges that had to be resolved in the midst of the pandemic chaos in order to conduct SARS-CoV-2 genomic surveillance. Data management, storage, and analytics needs were addressed with both conventional database applications and newer cloud-based data solutions, which also fulfilled computational requirements. Results: Representative and randomly selected samples were sourced from state-sponsored community testing sites. Since March of 2021, California COVIDNet partners have contributed more than 450,000 SARS-CoV-2 genomes sequenced from remnant samples from both molecular and antigen tests. Combined with genomes from CDC-contracted WGS labs, there are currently nearly 800,000 genomes from all 61 local health jurisdictions (LHJs) in California in the COVIDNet sequence database. More than 5% of all reported positive tests in the state have been sequenced, with similar rates of sequencing across 5 major geographic regions in the state. Discussion: Implementation of California COVIDNet revealed challenges and limitations in the public health system. These were overcome by engaging in novel partnerships that established a successful genomic surveillance program which provided valuable data to inform the COVID-19 public health response in California. Significantly, California COVIDNet has provided a foundational data framework and computational infrastructure needed to respond to future public health crises.

Indexed as

COVID-19SARS-CoV-2CaliforniaData ManagementGenomicsHumanscloud-based computingCOVID-19data managementgenomic surveillanceSARS-CoV-2whole genome sequencing

Identifiers

PMID37937074
PMCPMC10627185

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.